• 저자 Jae-Kwang Lim,Eun-Ju Kang,Ji Won Lee,박형석,전기완
• 학술지Journal of Computer Assisted Tomography (0363-8715), 46(4), 593 ~ 603
• 등재유형SCIE
• 게재일자 20220701

This study aimed to evaluate the feasibility of a deep learning method for imaging artifact and noise reduction in coronal reformation of contrast-enhanced chest computed tomography (CT).